• Journal of Korea Society of Industrial Information Systems
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• v.27 no.2
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• pp.11-24
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• 2022

For the questions asked for LMS-based online evaluation the professor directly set exam questions, or use the automatic question-taking method according to the level of difficulty using the question bank divided by category. Among them, it is important to manage the difficulty of questions in an objective and efficient way, above all, in the automatic question-taking method according to difficulty. Because the questions presented to the evaluators may be different. In this paper, we propose an difficulty re-adjustment algorithm that considers not only the correct rate of a problem but also the time taken to solve the problem. For this, a logistic regression classification algorithm was used of machine learning, and a reference threshold was set based on the predicted probability value of the learning model and used to readjust the difficulty of each item. As a result, it was confirmed that there were many changes in the difficulty of each item that depended only on the existing correct rate. Also, as a result of performing group evaluation using the adjustment difficulty problem, it was confirmed that the average score improved in most groups compared to the difficulty problem based on the percentage of correct answers.

• KSCI Review
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• v.2 no.2
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• pp.27-40
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• 1996

During the 21st century of informational society, in the learning of various field will utilize the education using multi-media more extensively than ever before. The biggest question is how effective the education using multi-media will be. For effective education, wide-spread supply of not only the hardware and various kinds of CBT or CAI that are being developed in the learning of various fields. It is also felt that the skill for application of more convenient multi-media authoring tool is needed. If the producter of such multi-media authoring tool can store various types of information in a form of data bank, accessing the right information at right time and its application would be possible. It can also provide a lot of information to many out-of town learmers. As seen above, the scope of usage for multi-media authoring tool will be broadened. However, no matter how excellent the Authoring Tool is, the results can be very different depending on the method employed. In order to develop CBT or CAI that can be better used in the learning of various fields, examination and on-site training, more reseach should be done in Authoring Tool using virtual reality and artifical intelligence technology.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.8
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• pp.4495-4499
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• 2013

Morinda citrifolia, also known as Great Morinda, Indian Mulberry, or Noni, is a plant belonging to the family Rubiaceae. A number of major chemical compounds have been identified in the leaves, roots, and fruits of the Noni plant. The fruit juice is in high demand in alternative medicine for different kinds for illnesses such as arthritis, diabetes, high blood pressure, muscle ached and pains, menstrual difficulties, headache, heart diseases, AIDS, gastric ulcer, sprains, mental depression, senility, poor digestion, arteriosclerosis, blood vessel problems, and drug addiction. Several studies have also demonstrated anti-inflammatory, antioxidant and apoptosis-inducing effects of Noni in various cancers. Based on a toxicological assessment, Noni juice was considered as safe. Though a large number of in vitro, and, to a certain extent, in vivo studies demonstrated a range of potentially beneficial effects, clinical data are essentially lacking. To what extent the findings from experimental pharmacological studies are of potential clinical relevance is not clear at present and this question needs to be explored in detail before an recommendations can be made.

• East Asian Economic Review
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• v.24 no.4
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• pp.417-440
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• 2020

The coronavirus pandemic of 2019-20 confronted fiscally dominant regimes around the world with the question of whether the large deficits caused by the health crisis should be monetized or financed by issuing debt. The unpleasant monetarist arithmetic of Sargent and Wallace (1981) states that in a fiscally dominant regime tighter money now can cause higher inflation in the future. In spite of the qualifier 'unpleasant,' this result is positive in nature, and, therefore, void of normative content. I analyze conditions under which it is optimal in a welfare sense for the central bank to delay inflation by issuing debt to finance part of the fiscal deficit. The analysis is conducted in the context of a model in which the aforementioned monetarist arithmetic holds, in the sense that if the government finds it optimal to delay inflation, it does so knowing that it would result in higher inflation in the future. The central result of the paper is that delaying inflation is optimal when the fiscal deficit is expected to decline over time.

• 한국균학회소식:학술대회논문집
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• 2014.10a
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• pp.29-29
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• 2014

Since Darwin and Wallace introduced the concept on the evolution of species, scientists have been furiously debating what species are, and how to define them. This basic yet intriguing question has bothered us ever since, as communicating to fellow biologists about fungal species is the very cornerstone of mycology. For the species presently known, this has largely been accomplished via Latin binomials linked to morphology in the absence of DNA barcodes. In recent years mycologists have embraced the ribosomal ITS as official barcode region for Fungi, and this locus is also mainly used in environmental pyrosequencing studies. Furthermore, DNA data can now also be used to describe sterile species in the absence or lack of distinct morphological structures. Recent developments such as the registration of names in MycoBank, and linking the phenotype to the genotype, have significantly changed the face of fungal systematics. By employing the Consolidated Species Concept, incorporating genealogical concordance, ecology and morphology, robust species recognition is now possible. Several international initiatives have since built on these developments, such as the DNA barcoding of holdings of Biological Resource Centres, followed by the Genera of Fungi Project, aiming to recollect, and epitypify all type species of all genera. What these data have revealed, is that most genera are poly- and paraphyletic, and that morphological species normally encompass several genetic entities, which may be cryptic species. Once we provide a stable genetic backbone capturing our existing knowledge of the past 250 years, we will be able to accommodate novelties obtained via environmental sequencing platforms. Being able to communicate these species to other biologists in a clear manner that is DNA-based, will enable scientists to elucidate the importance, role and ecological interactions that these fungi have on our planet.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.137-145
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• 2020

The aim of this study is to find out the time-series nexus of public debt and economic growth in Malaysia. For an upper-middle income country, Malaysia had experienced over 50% ratio of debt to GDP since 2009 until now. The question arises is whether this trend is healthy to the economy. With a focus into the debt-to-GDP ratio from 1970-2015, this study investigates the short-run and long-run relationship between public debt and economic growth in Malaysia. This study used secondary data by collecting time-series data (1970-2015) from the World Bank Data and Bank Negara Malaysia. Autoregressive Distributed Lag (ARDL) model is applied in this study to examine the relationship between debt and economic growth. Based on ARDL framework, it shows that there is a long-run effect between the debt and economic growth in Malaysia. While the significance value of Error Correction Term shows that there is a long-run adjustment in the short run. Generally, this study found government expenditures, in the long run, strongly influence the GDP per capita. Through the findings, the government expenditures could increase the GDP per capita. The study also reveals that any increment of the debt ratio will result in reduction of the GDP per capita.

• Economic Analysis
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• v.26 no.1
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• pp.84-132
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• 2020

A central bank infers market expectations of future yields based on yield curves. The central bank needs to precisely understand the changes in market expectations of future yields in order to have a more effective monetary policy. This need explains why a range of models have attempted to produce yield curves and market expectations that are as accurate as possible. Alongside the development of bond markets, the interconnectedness between them and macroeconomic factors has deepened, and this has rendered understanding of what macroeconomic variables affect yield curves even more important. However, the existence of various theories about determinants of yields inevitably means that previous studies have applied different macroeconomics variables when estimating yield curves. This indicates model uncertainties and naturally poses a question: Which model better estimates yield curves? Put differently, which variables should be applied to better estimate yield curves? This study employs the Dynamic Nelson-Siegel Model and takes the Bayesian approach to variable selection in order to ensure precision in estimating yield curves and market expectations of future yields. Bayesian variable selection may be an effective estimation method because it is expected to alleviate problems arising from a priori selection of the key variables comprising a model, and because it is a comprehensive approach that efficiently reflects model uncertainties in estimations. A comparison of Bayesian variable selection with the models of previous studies finds that the question of which macroeconomic variables are applied to a model has considerable impact on market expectations of future yields. This shows that model uncertainties exert great influence on the resultant estimates, and that it is reasonable to reflect model uncertainties in the estimation. Those implications are underscored by the superior forecasting performance of Bayesian variable selection models over those models used in previous studies. Therefore, the use of a Bayesian variable selection model is advisable in estimating yield curves and market expectations of yield curves with greater exactitude in consideration of the impact of model uncertainties on the estimation.

• Journal of Preventive Medicine and Public Health
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• v.38 no.1
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• pp.45-52
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• 2005

Objectives : To investigate the fatigue subjective symptoms and VDT related risk factors in bank workers. Methods : A total of 2178 workers (62.8% male, 37.2% female) were surveyed with a self-administered and structured questionnaire consisting of 30 fatigue symptoms and other VDT related factors regarding work characteristics, work postures, work environments, personal medical histories, etc. Fatigue subjective symptoms were divided into 3 groups of 10 questions each: a dull, drowsy and exhausted feeling (Group I), a mental decline of working motivation (Group II), or a feeling of incongruity in the body and dysfunction of autonomic nervous system (Group III). Each question was weighted as 0 for 'none', 1 for 'sometimes', and 2 for 'always'. Results : Mean age was $35.8{\pm}7.2$ years ($38.9{\pm}6.0$ in males, $30.6{\pm}5.8$ in females), Mean work duration was $7.7{\pm}7.1$ years ($8.4{\pm}7.4$ in males, $6.5{\pm}6.4$ in females). Mean symptom score in males was $11.0{\pm}8.1$ ($4.9{\pm}3.1$ in Group I, $3.0{\pm}3.1$ in Group II, $3.1{\pm}2.8$ in Group III) and in females was $17.5{\pm}9.5$ ($7.0{\pm}3.8$ in Group I, $4.6{\pm}3.5$ in Group II, $5.9{\pm}3.4$ in Group III). Mean scores were higher in the order of Group I>III>II. Females had significantly higher scores than males in all three groups (p<0.001). Most common symptoms complained of as 'always' or 'sometimes' were feel strained in the eyes' (85.4%) among Group I, 'find difficulty in thinking'(54.2%) among Group II, and 'feel stiff in the shoulders (72.3%) among Group III. In multiple regression analysis, female, non-straight spine at workstation, more VDT work hours, history of physical therapy, glare of screen, overtime work, young age, and non-horizontal elbow position were significantly related with high score of symptoms. Conclusions : More supportive VDT work environment and education for correct work postures for VDT workers are recommended.

• KSCI Review
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• v.8 no.2
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• pp.33-42
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• 2001

The purpose of this study was to help retrieve and assess only what learner wants. The multiple-choice and short-answer types were selected. and a sort of a question bank was organized in consideration of the degree of difficulty and frequency of being questioned in such a way to have a discriminating power. For item retrieval the stored information was converted into XML data, instead of simply searching information from database. and that data were retrieved through Xpath. And it's designed to show the retrieval output by using XML on browser. Concerning item evaluation. evaluation items were produced by inputting the degree of difficulty and frequency of being questioned of the subject and unit learner wants. and then by inputting the number of individual item type. The learning outcome was offered in real time to learner. and learner could repeatedly drill what they gave a wrong answer.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.393-400
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• 2020

Banking service is provided by a bank that allows its customers to conduct banking transactions and so the purpose of this study was to identify the factors that influenced the behavioral intention to accept and use banking services in Vietnam. The research methodology was implemented through two steps: qualitative research and quantitative research. Qualitative research was conducted with a sample of 30 people. Quantitative research was carried out as soon as the question was edited from the test results with a sample of 217 customers living in Ho Chi Minh City, Vietnam. The research model was proposed from the studies of the behavioral intentions to accept and use banking service. The reliability and validity of the scale were evaluated by Cronbach's Alpha, Average Variance Extracted (Pvc), and Composite Reliability (Pc). The model selection of AIC showed that the behavioral intention to accept and use banking service was impacted by four components. The outcomes showed that the model of research intended to accept and use banking services in Ho Chi Minh, Vietnam showing the effects of 4 scales is built as perceived ease of use, trust, social norm, and innovation about banking services.